Accurate molecular dynamics and nuclear quantum effects at low cost by multiple steps in real and imaginary time: using density functional theory to accelerate wavefunction methods
arXiv:1512.00176 · doi:10.1063/1.4941091
Abstract
The development and implementation of increasingly accurate methods for electronic structure calculations mean that, for many atomistic simulation problems, treating light nuclei as classical particles is now one of the most serious approximations. Even though recent developments have significantly reduced the overhead for modelling the quantum nature of the nuclei, the cost is still prohibitive when combined with advanced electronic structure methods. Here we present how multiple time step integrators can be combined with ring-polymer contraction techniques (effectively, multiple time stepping in imaginary time) to reduce virtually to zero the overhead of modelling nuclear quantum effects, while describing inter-atomic forces at high levels of electronic structure theory. This is demonstrated for a combination of MP2 and semi-local DFT applied to the Zundel cation. The approach can be seamlessly combined with other methods to reduce the computational cost of path integral calculations, such as high-order factorizations of the Boltzmann operator, or generalized Langevin equation thermostats.
References in corpus (12)
- Competing quantum effects in the dynamics of a flexible water model
- Efficient stochastic thermostatting of path integral molecular dynamics
- How to remove the spurious resonances from ring polymer molecular dynamics
- Nuclear quantum effects in solids using a colored-noise thermostat
- Efficient first-principles calculation of the quantum kinetic energy and momentum distribution of nuclei
- Accelerating the convergence of path integral dynamics with a generalized Langevin equation
- Efficient multiple time scale molecular dynamics: using colored noise thermostats to stabilize resonances
- Ab initio molecular dynamics with nuclear quantum effects at classical cost: ring polymer contraction for density functional theory
- On the Consistency of Approximate Quantum Dynamics Simulation Methods for Vibrational Spectra in the Condensed Phase
- Ab-initio molecular dynamics simulation of liquid water by Quantum Monte Carlo
- Accurate multiple time step in biased molecular simulations
- Accelerating ab initio path integral molecular dynamics with multilevel sampling of potential surface
Cited by in corpus (24)
- Nuclear quantum effects enter the mainstream
- i-PI 2.0: A Universal Force Engine for Advanced Molecular Simulations
- Chemical Reaction Rates from Ring Polymer Molecular Dynamics: Theory and Practical Applications
- Uncertainty estimation for molecular dynamics and sampling
- Ab initio molecular dynamics with nuclear quantum effects at classical cost: ring polymer contraction for density functional theory
- Anharmonic and Quantum Fluctuations in Molecular Crystals: A First-Principles Study of the Stability of Paracetamol
- Isotope Effects in Liquid Water via Deep Potential Molecular Dynamics
- High Order Path Integrals Made Easy
- i-PI 3.0: a flexible and efficient framework for advanced atomistic simulations
- Decisive role of nuclear quantum effects on surface mediated water dissociation at finite temperature
- Quantum Ring-Polymer Contraction Method: Including nuclear quantum effects at no additional computational cost in comparison to ab-initio molecular dynamics
- Quantum dynamics using path integral coarse-graining
- Unravelling the influence of quantum proton delocalization on electronic charge transfer through the hydrogen bond
- Incorporating Nuclear Quantum Effects in Molecular Dynamics with a Constrained Minimized Energy Surface
- Modeling the structural and thermal properties of loaded metal-organic frameworks. An interplay of quantum and anharmonic fluctuations
- Nuclear Quantum Effects in liquid water at near classical computational cost using the adaptive Quantum Thermal Bath
- Fast and flexible long-range models for atomistic machine learning
- Developing machine-learned potentials to simultaneously capture the dynamics of excess protons and hydroxide ions in classical and path integral simulations
- Reducing the cost of neural network potential generation for reactive molecular systems
- Assessing the persistence of chalcogen bonds in solution with neural network potentials
- Simulating nuclear and electronic quantum effects in enzymes
- Metatensor and metatomic: foundational libraries for interoperable atomistic machine learning
- Interpolating many-body wave functions for accelerated molecular dynamics on the near-exact electronic surface
- Using a monomer potential energy surface to perform approximate path integral molecular dynamics simulation of ab-initio water with near-zero added cost